Hiring: Senior Machine Learning Engineer Company: SeatGeek Location: United States Job Posted Time: 2026-09-10 12:12:18 Target Skills & Keywords : .NET, A/B Testing, AWS, Airflow, C#, Datadog, ECS, Elasticsearch, FastAPI, Feature Store, GitHub, GitLab, MLOps, Machine Learning, PostgreSQL, PyTorch, Python, Redshift, SageMaker, TensorFlow, User Experience, scikit-learn About the job Experience: •4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps Required Skills: •Design, build, and deploy machine learning models and systems that operate reliably at scale in production •Build and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines •Embed on a product engineering team and collaborate closely with data scientists, PMs ,and Software Engineers to translate research and experimental models into production-ready systems •Solve complex technical challenges unique to the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection •Develop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices •Work across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek's core product offerings Qualifications: •Strong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or similar •Understanding of both batch and real-time ML systems, including experience with model serving, A/B testing, and performance monitoring •Passion for software craftsmanship and product. You have well-considered opinions about how systems should be built, and hold yourself and your code to a high standard •A product mindset. You think beyond the model accuracy, about user experience, business impact, system reliability, and what makes a great product tick •Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others •You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned. •Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core •Cloud: AWS (SageMaker, Redshift, ECS), Airflow for orchestration •AI Tooling: Cursor, Github Copliot, Claude Code Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!